Triple

T21899713
Position Surface form Disambiguated ID Type / Status
Subject Get Him to the Greek E540774 entity
Predicate musicBy P1952 FINISHED
Object Lyle Workman NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lyle Workman | Statement: [Get Him to the Greek, musicBy, Lyle Workman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyle Workman
Context triple: [Get Him to the Greek, musicBy, Lyle Workman]
  • A. Lyle Workman chosen
    Lyle Workman is an American guitarist and film composer known for his work on numerous comedy soundtracks and collaborations with artists like Beck and Todd Rundgren.
  • B. Lyle Lahey
    Lyle Lahey was an American editorial cartoonist known for his long-running political cartoons in Wisconsin newspapers.
  • C. Lyle Bettger
    Lyle Bettger was an American character actor best known for his frequent portrayals of suave villains in mid-20th-century Hollywood films and television.
  • D. Lyle Anderson
    Lyle Anderson is a fictional character appearing in the "Kingdom" series.
  • E. Lyle Leverich
    Lyle Leverich was an American theater producer and biographer best known for his work in promoting and chronicling the lives and achievements of major theatrical figures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.